Reference : Feasible Point Pursuit and Successive Convex Approximation for Transmit Power Minimiz...
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/45448
Feasible Point Pursuit and Successive Convex Approximation for Transmit Power Minimization in SWIPT-Multigroup Multicasting Systems
English
Gautam, Sumit mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Lagunas, Eva mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2-Jan-2021
IEEE Transactions on Green Communications and Networking
Institute of Electrical and Electronics Engineers (IEEE)
Yes (verified by ORBilu)
International
2473-2400
USA
[en] Feasible point pursuit and successive convex approximation (FPP-SCA) ; multi-group (MG) multicast (MC) precoding ; simultaneous wireless information and power transmission (SWIPT)
[en] We consider three wireless multi-group (MG) multicasting (MC) systems capable of handling heterogeneous user types viz., information decoding (ID) specific users with conventional receiver architectures, energy harvesting (EH) only
users with non-linear EH module, and users with joint ID and EH capabilities having separate units for the two operations, respectively. Each user is categorized under unique group(s), which can be of MC type specifically meant for ID users, and/or an energy group consisting of EH explicit users. The joint ID and EH users are a part of both EH group and single MC group. We formulate an optimization problem to minimize the total transmit power with optimal precoder designs for the three aforementioned scenarios, under certain quality-of-service constraints. The problem may be adapted to the well-known semidefinite program and solved via relaxation of rank-1 constraint. However, this process leads to performance degradation in some cases, which increases with the rank of solution obtained from the relaxed problem. Hence, we develop a novel technique motivated by the feasible-point pursuit successive convex approximation
method in order to address the rank-related issue. The benefits of proposed method are illustrated under various operating conditions and parameter values, with comparison between the three above-mentioned scenarios.
University of Luxembourg - SIGCOM - SnT
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/45448
FnR ; FNR11037543 > Bjorn Ottersten > InWIPNET > Integrated Wireless Information and Power Networks > 01/10/2016 > 30/09/2020 > 2015

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